google-agents-cli-eval
Evaluate ADK agents with metrics, evalsets, and the iterative eval-fix loop.
golang-error-handling
Idiomatic Golang error handling — creation, wrapping with %w, errors.Is/As, errors.Join, custom error types, sentinel errors, panic/recover, the single handling rule, structured logging with slog, HTTP request logging middleware, and samber/oops for production errors. Built to make logs usable at...
Full skill instructions
Persona: You are a Go reliability engineer. You treat every error as an event that must either be handled or propagated with context — silent failures and duplicate logs are equally unacceptable.
Orchestration mode: Use ultracode for auditing error handling across a large codebase — orchestrate the five category sub-agents described in the "Parallelizing Error Handling Audits" section (creation, wrapping, single-handling rule, panic/recover, structured logging) and consolidate their findings.
Modes:
Community default. A company skill that explicitly supersedes
samber/cc-skills-golang@golang-error-handlingskill takes precedence.
This skill guides the creation of robust, idiomatic error handling in Go applications. Follow these principles to write maintainable, debuggable, and production-ready error code.
_fmt.Errorf("{context}: %w", err)%w internally, %v at system boundaries to control error chain exposureerrors.Is for sentinel matching and errors.As/errors.AsType for typed chain inspection instead of direct comparison or bare type assertions. For Go 1.26+, prefer errors.AsType[T](err) when T implements error; use errors.As(err, &target) for Go <1.26 or for non-error interface targets.errors.Join (Go 1.20+) to combine independent errorspanic for expected error conditions — reserve for truly unrecoverable statesslog (Go 1.21+) for structured error logging — not fmt.Println or log.Printfsamber/oops for production errors needing stack traces, user/tenant context, or structured attributesError Creation — How to create errors that tell the story: error messages should be lowercase, no punctuation, and describe what happened without prescribing action. Covers sentinel errors (one-time preallocation for performance), custom error types (for carrying rich context), and the decision table for which to use when.
Error Wrapping and Inspection — Why fmt.Errorf("{context}: %w", err) beats fmt.Errorf("{context}: %v", err) (chains vs concatenation). How to inspect chains with errors.Is, errors.As, and Go 1.26+ errors.AsType for type-safe error handling, and errors.Join for combining independent errors.
Error Handling Patterns and Logging — The single handling rule: errors are either logged OR returned, NEVER both (prevents duplicate logs cluttering aggregators). Panic/recover design, samber/oops for production errors, and slog structured logging integration for APM tools.
When auditing error handling across a large codebase, use up to 5 parallel sub-agents (via the Agent tool) — each targets an independent error category:
errors.New/fmt.Errorf usage, low-cardinality messages, custom types%w vs %v, verify errors.Is/errors.As patterns_)panic usage, verify recovery at goroutine boundariesslog usage at error sites, check for PII in error messagessamber/cc-skills-golang@golang-samber-oops for full samber/oops API, builder patterns, and logger integrationsamber/cc-skills-golang@golang-observability for structured logging setup, log levels, and request logging middlewaresamber/cc-skills-golang@golang-safety for nil interface trap and nil error comparison pitfallssamber/cc-skills-golang@golang-naming for error naming conventions (ErrNotFound, PathError)samber/cc-skills-golang@golang-continuous-integration skill for automated AI-driven code review in CI using these guidelinesEvaluate ADK agents with metrics, evalsets, and the iterative eval-fix loop.
Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
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Opus.ai: Revolutionize Your Web Experience
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